To install this package, start R and enter:

source("http://bioconductor.org/biocLite.R")
biocLite("TDARACNE")

In most cases, you don't need to download the package archive at all.

TDARACNE

Network reverse engineering from time course data.

Bioconductor version: Release (2.14)

To infer gene networks from time-series measurements is a current challenge into bioinformatics research area. In order to detect dependencies between genes at different time delays, we propose an approach to infer gene regulatory networks from time-series measurements starting from a well known algorithm based on information theory. The proposed algorithm is expected to be useful in reconstruction of small biological directed networks from time course data.

Author: Zoppoli P.,Morganella S., Ceccarelli M.

Maintainer: Zoppoli Pietro <zoppoli.pietro at gmail.com>

To install this package, start R and enter:

Citation (from within R, enter citation("TDARACNE")):

Installation

source("http://bioconductor.org/biocLite.R")
biocLite("TDARACNE")

Documentation

To view documentation for the version of this package installed in your system, start R and enter:

browseVignettes("TDARACNE")

 

PDF R Script TDARACNE
PDF   Reference Manual

Details

biocViews Microarray, Software, TimeCourse
Version 1.14.0
In Bioconductor since BioC 2.8 (R-2.13)
License GPL-2
Depends GenKern, Rgraphviz, Biobase
Imports
Suggests
System Requirements
URL
Depends On Me
Imports Me
Suggests Me

Package Archives

Follow Installation instructions to use this package in your R session.

Package Source TDARACNE_1.14.0.tar.gz
Windows Binary TDARACNE_1.14.0.zip (32- & 64-bit)
Mac OS X 10.6 (Snow Leopard) TDARACNE_1.14.0.tgz
Mac OS X 10.9 (Mavericks) TDARACNE_1.14.0.tgz
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